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» Implementation of the MLP Kernel
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IJHPCA
2007
88views more  IJHPCA 2007»
13 years 9 months ago
Performance Optimization and Modeling of Blocked Sparse Kernels
We present a method for automatically selecting optimal implementations of sparse matrixvector operations. Our software ‘AcCELS’ (Accelerated Compress-storage Elements for Lin...
Alfredo Buttari, Victor Eijkhout, Julien Langou, S...
ICML
2007
IEEE
14 years 10 months ago
Kernelizing PLS, degrees of freedom, and efficient model selection
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
Mikio L. Braun, Nicole Krämer
ICML
2004
IEEE
14 years 10 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
CLUSTER
2006
IEEE
14 years 3 months ago
Kernel-Level Measurement for Integrated Parallel Performance Views: the KTAU Project
The effect of the operating system on application performance is an increasingly important consideration in high performance computing. OS kernel measurement is key to understandi...
Aroon Nataraj, Allen D. Malony, Sameer Shende, Ala...
ICSE
2000
IEEE-ACM
14 years 1 months ago
Verification of time partitioning in the DEOS scheduler kernel
This paper describes an experiment to use the Spin model checking system to support automated verification of time partitioning in the Honeywell DEOS real-time scheduling kernel. ...
John Penix, Willem Visser, Eric Engstrom, Aaron La...